# arnauddri/algorithms

Algorithms & Data Structures in Go

Repository: https://github.com/arnauddri/algorithms
Canonical: https://ross.abutalabs.com/products/arnauddri-algorithms
Language: Go
License: NOASSERTION
License Family: other
Last push: 2021-02-04T20:14:12+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4247, "days_push": 2036, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1848, forks 263 (observed 2026-08-28T04:05:43.660852+00:00)

## What it is
A collection of classic algorithms and data structures implemented in Go, including trees, graphs, heaps, sorting, and shortest-path algorithms. It is explicitly a learning exercise and not intended for production use.

## Use cases
- learn classic data structures in Go
- study graph algorithms like Dijkstra and Kosaraju
- reference implementations of heaps and priority queues
- prepare for coding interviews with Go examples
- understand sorting and searching algorithm implementations

## When to choose
- you want readable Go examples of fundamental CS concepts
- you are learning Go and algorithms at the same time

## When to avoid
- you need production-ready, well-maintained data structure libraries
- you need a license-cleared dependency for a commercial project

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: developer-tools
- domain: education, programming-languages
- platform: go
- tags: data-structures, algorithms, go, educational, graph-algorithms, sorting

## Member repositories
- arnauddri/algorithms (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:43.660852+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:17:47.455419+00:00, confidence not recorded.
  - readme: https://github.com/arnauddri/algorithms (fetched 2026-08-28T04:05:43.660852+00:00, sha c4e29d7d6925)
- Data as of 2026-08-30T08:39:29.467469+00:00.